Decision support model for prioritizing railway level crossings for safety improvements: Application of the adaptive neuro-fuzzy system

Ćirović, Goran; Pamučar, Dragan

doi:10.1016/j.eswa.2012.10.041

Cited by 47 publications

(23 citation statements)

References 6 publications

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“…It is estimated that as an average 1.312 lives are lost per day in traffic accident in the world (Park, 2007). According to the report of the European Railway Agency, 27% of total number of deaths in the railroad accidents happens at level crossings (Ćirović & Pamučar, 2013). Traffic accidents at level crossings are mostly the result of misconduct and careless behavior of participants in road traffic.…”

Section: Introductionmentioning

confidence: 99%

“…As compare to conventional cost-benefit approach, multicriteria analysis allows effective comparative evaluation among options and stakeholders over a common set of evaluation objectives. Furthermore, multi-criteria analysis could overcome the limitation of cost-benefit analysis whereby all the costs and benefits have to be expressed in monetary terms (Ćirović & Pamučar, 2013). Ford and Matthews (2002) and Roop et al (2005) adoped multi-criteria analysis technique to assess the relative merits of the candidate protection systems and evoluation of railway level crossings.…”

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confidence: 99%

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Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia

Pamučar

Lukovac

Božanić

et al. 2019

Oper. Res. Eng. Sci. Theor. Appl.

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A level crossing, as a point of the crossing of road and rail traffic in the same level, is a place of conflicts subject to traffic accidents. In Serbia, the selection of the level crossings to be secured is mostly done based on the media and society pressure, as a result of an increase of the number of accidents at level crossings. This paper presents the application of a group multi-criteria FUCOM-MAIRCA (Full Consistency Method -Multi Attributive Ideal-Real Comparative Analysis) model that supports the process of selecting a level crossing in terms of investing in its security equipment. The FUCOM-MAIRCA multi-criteria model is tested in a case study which included the evaluation of ten level crossings within the railway infrastructure in the Republic of Serbia. The evaluation of the crossings is carried out through the assessment according to seven criteria set out on the basis of representative literature and surveys of experts. Sensitivity test of the FUCOM-MAIRCA model is performed by changing the weight coefficients of criteria and statistically processing the results using Spearman's rank correlation coefficient.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia

Pamučar

Lukovac

Božanić

et al. 2019

Oper. Res. Eng. Sci. Theor. Appl.

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“…A recent application of fuzzy sets and clustering to guide the selection of rail crossings for active safety systems (e.g., bells, lights, and barriers) is in [3]. Tey et al [4] describe the use of logistic regression and mixed regression to model the behavior of drivers at railway crossings.…”

Section: Related Workmentioning

confidence: 99%

Text Mining the Contributors to Rail Accidents

Brown

2016

IEEE Trans. Intell. Transport. Syst.

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Rail accidents represent an important safety concern for the transportation industry in many countries. In the 11 years from 2001 to 2012, the U.S. had more than 40 000 rail accidents that cost more than $45 million. While most of the accidents during this period had very little cost, about 5200 had damages in excess of $141 500. To better understand the contributors to these extreme accidents, the Federal Railroad Administration has required the railroads involved in accidents to submit reports that contain both fixed field entries and narratives that describe the characteristics of the accident. While a number of studies have looked at the fixed fields, none have done an extensive analysis of the narratives. This paper describes the use of text mining with a combination of techniques to automatically discover accident characteristics that can inform a better understanding of the contributors to the accidents. The study evaluates the efficacy of text mining of accident narratives by assessing predictive performance for the costs of extreme accidents. The results show that predictive accuracy for accident costs significantly improves through the use of features found by text mining and predictive accuracy further improves through the use of modern ensemble methods. Importantly, this study also shows through case examples how the findings from text mining of the narratives can improve understanding of the contributors to rail accidents in ways not possible through only fixed field analysis of the accident reports.Index Terms-Rail safety, safety engineering, latent Dirichlet allocation, partial least squares, random forests. 1524-9050

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“…In addition to the social and emotional cost of these accidents, an earlier estimate by the Australian Bureau of Transport and Regional Economics revealed the financial cost of a fatality to be $1.9 million [4], and $27,000 for a serious injury, however these figures are likely to be an underestimate of the total cost [5]. In the European Union, more than 400 people are fatally injured after being struck by a train every year [6], and in the US, more than 70 are fatally injured [7], excluding suicides. Despite the international scale of the problem, there is a paucity of research in the area of pedestrian safety at rail level crossings, with most research focussing on vehicle use at such sites [8].…”

Section: Introductionmentioning

confidence: 99%

An Exploration into Younger and Older Pedestrians’ Risky Behaviours at Train Level Crossings

Freeman

McMaster

Rakotonirainy

2015

Safety

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Abstract:Background: Younger and older pedestrians are both overrepresented in train-pedestrian injury and fatality collision databases. However, scant research has attempted to determine the factors that influence level crossing behaviours for these high risk groups. Method: Five focus groups were undertaken with a total of 27 younger and 17 older pedestrian level crossing users (N = 44). Due to the lack of research in the area, a focus group methodology was implemented to gain a deeper exploratory understanding into the sample's decision making processes through a pilot study. The three main areas of enquiry were identifying the: (a) primary reasons for unsafe behaviour; (b) factors that deter this behaviour and (c) proposed interventions to improve pedestrian safety at level crossings in the future. Results: Common themes to emerge from both groups regarding the origins of unsafe behaviours were: running late and a fatalistic perspective that some accidents are inevitable. However, younger pedestrians were more likely to report motivators to be: (a) non-perception of danger; (b) impulsive risk taking; and (c) inattention. In contrast, older pedestrians reported their decisions to cross are influenced by mobility issues and sensory salience. Conclusion: The findings indicate that a range of factors influence OPEN ACCESSSafety 2015, 1 17 pedestrian crossing behaviours. This paper will further outline the major findings of the research in regards to intervention development and future research direction.

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Decision support model for prioritizing railway level crossings for safety improvements: Application of the adaptive neuro-fuzzy system

Cited by 47 publications

References 6 publications

Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia

Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia

Text Mining the Contributors to Rail Accidents

An Exploration into Younger and Older Pedestrians’ Risky Behaviours at Train Level Crossings

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